جست‌وجوی استاد و پژوهشگر

Li Fangمشاهده پروفایل

استادیار

• Atomic Physics
• Molecular Physics
• Plasma Physics
• +۵ مورد دیگر

Dr. Li Fang is an Assistant Professor in the Department of Physics at the University of Central Florida (UCF), affiliated with the College of Sciences. His research focuses on ultrafast and attosecond spectroscopy, plasma physics, and the interaction of matter with high-intensity laser fields. He leads the Ultrafast Atomic, Molecular & Plasma Research Group, which explores electronic dynamics in atomic and molecular systems using advanced laser technologies. Key research areas include nanoplasma energy dynamics, free-electron-laser-based experiments, and the development of high-power ultrafast laser systems. His group operates state-of-the-art labs like the Atto Lab and UFAST Lab, equipped with femtosecond lasers and advanced spectroscopy tools. Dr. Fang has secured significant funding, including a 2024 NSF CAREER Award and participation in UCF's $5M Jump Start initiative. His publications span photonics, optical amplification, and biomedical applications, reflecting interdisciplinary expertise. Collaborations include international facilities like Japan's SACLA free-electron laser. Current opportunities exist for graduate and undergraduate students in lab-based research.

Peter J. Delfyettمشاهده پروفایل

استاد

• Ultrafast Photonics
• Semiconductor Lasers
• Optical Frequency Combs
• +۲ مورد دیگر

Peter J. Delfyett is a Pegasus Professor, Distinguished Professor, and Director of the Townes Laser Institute at CREOL, College of Optics and Photonics, University of Central Florida. He earned his Ph.D. from CUNY Graduate School (1988) after B.E. from City College of New York (1981) and M.S. from University of Rochester (1983). With prior experience at Bell Labs, his research revolutionized ultrafast semiconductor lasers. Research focuses on: Ultrafast high-power semiconductor lasers Optical frequency combs Photonic networks for communications and materials processing He founded Raydiance, Inc. to commercialize laser technologies. Honors include: Election to National Academy of Engineering (2021) APS Schawlow Prize for laser science IEEE Streifer Award Multiple teaching excellence awards Delfyett has mentored 33 PhD students and holds 45 patents in photonics technology. His research group advances chip-scale photonic systems for applications from communications to biomedical imaging.

John L. Volakisمشاهده پروفایل

استاد

• Wireless Communications
• Antennas and Arrays
• Ultra-Wideband RF Techniques
• +۷ مورد دیگر

John L. Volakis is a Professor of Electrical & Computer Engineering at Florida International University (FIU) and former Dean of the College of Engineering and Computing (2017-2023). He is an IEEE, ACES, AAAS, NAI, and URSI Fellow. His career spans over four decades, including roles at Boeing, University of Michigan, Ohio State University, and FIU. He has pioneered advancements in antennas, electromagnetic compatibility, and biomedical sensing. His research group has produced over 400 journal papers, 800 conference papers, and 8 books. He has mentored 95 PhD/postdoc students, many of whom became faculty or industry leaders. Education: Ph.D. (1982), M.S. (1979), B.E. (1978) from The Ohio State University and Youngstown State University. Key Roles: Former Director of Ohio State's ElectroScience Laboratory, Co-Director of FIU's RFCOM Lab. Research Interests: Focuses on wearable antennas, ultra-wideband systems, metamaterials, neurosensing, and electromagnetic compatibility. His work includes innovations in millimeter-wave arrays, EMI shielding, and bioelectromagnetics. Recent projects involve battery-free neural recording systems and STAR radio interference cancellation. Publications: Over 1,200+ publications across antennas, computational electromagnetics, and biomedical engineering. His 2025 papers address EMI shielding, LPD waveforms, and TCDA arrays. Awards: IEEE Antennas & Propagation Society Distinguished Award (2014), Chen-To Tai Educator Award (2011), and leadership roles in URSI and IEEE. Advising & Grants: Guided 43 students to best paper awards and secured $125M in external funding during his deanship. His RFCOM Lab develops advanced fabrication and measurement capabilities for phased arrays and biomedical sensors.

Nicola Cordeschiمشاهده پروفایل

استادیار

• Adaptive Wireless Communication
• Internet of Things
• Cognitive Radio Access
• +۶ مورد دیگر

Dr. Nicola Cordeschi is an Assistant Professor in Telecommunications at Polytechnic University of Bari's Department of Electrical and Information Engineering. He earned his Laurea degree (summa cum laude, 2004) and Ph.D. (2008) in Electronic Engineering from Sapienza University of Rome. Contact: +39 080 5963913. Research spans adaptive wireless systems and IoT: Q-learning approaches for wireless energy transfer systems Multi-link optimization in IEEE 802.11be networks Quantum network entanglement distribution strategies Optimized MAC protocols for IoT networks Awarded 2nd Best Paper at ICT-DM 2023 for work on scheduling algorithms in wireless-powered IoT. Teaching includes Internet of Things courses.

Daniel Sageمشاهده پروفایل

استاد

• The geometric Langlands program
• Geometric and combinatorial methods in representation theory
• Hopf algebras and quantum groups
• +۱ مورد دیگر

Daniel Sage serves as Professor and Chair of the Department of Mathematics at the University at Buffalo, where he maintains an active research program spanning pure and applied mathematics. His leadership role as department chair underscores his institutional significance within the university's academic structure. His educational trajectory demonstrates exceptional academic achievement: AB in Mathematics, Summa cum laude, Harvard University (1989) SM in Mathematics, University of Chicago (1990) PhD in Mathematics, University of Chicago (1995) Sage's research agenda bifurcates into two distinct but equally rigorous domains. His primary work in pure mathematics centers on the geometric Langlands program, where he investigates opers, connections on algebraic curves, and moduli spaces through geometric and combinatorial representation theory. This includes significant contributions to quantum groups and Hopf algebras. Concurrently, he explores composite materials science through the G-closure problem. His secondary research stream analyzes bibliometric patterns, examining citation dynamics, h-index validity, and research evaluation methodologies across disciplines. Analysis of his 15 most recent publications (2013-2023) reveals a strong concentration in geometric representation theory and mathematical physics, with approximately 75% of articles addressing Langlands program extensions, quantum group structures, and algebraic geometry applications. The remaining 25% focuses on scientometric investigations, particularly citation network analyses comparing Nobel laureates and Fields medalists. This dual focus demonstrates unusual breadth across theoretical mathematics and empirical research evaluation. No scientific awards or honors are documented in the provided materials. While his departmental chair position suggests administrative responsibilities, no specific information regarding graduate student advisement, grant funding, or research mentorship activities appears in the source texts. The absence of laboratory facilities or dedicated research teams in the documentation indicates Sage's work is primarily theoretical, conducted through individual scholarship and collaborative mathematical research rather than experimental or equipment-dependent investigations.

• Electronics
• Integrated Circuit Design
• Analog Circuits
• +۵ مورد دیگر

Marcello De Matteis serves as Associate Professor in the Department of Physics at the University of Milano-Bicocca, Italy, specializing in Application-Specific Integrated Circuit (ASIC) design for medical physics, high-energy experiments, and sensor systems. With over 35 ASICs developed since 2005—including principal design of 20+ chips across 0.5μm CMOS to 16nm FinFET technologies—he bridges electronics engineering with clinical applications in proton therapy and neuroscience. His educational background features a double degree from the Top Industrial Managers for Europe (TIME) program: Industrial Engineering, Polytechnic University of Madrid (2003) Electronic Engineering, Polytechnic University of Milan (2004) Research focuses on radiation-hardened analog circuits for particle detectors (ATLAS Muon Drift Tubes), proton therapy instrumentation (Proton Sound Detector project), and neuromorphic biosensors using neuron-electronic junctions. His work emphasizes low-power, high-precision front-ends for ionoacoustic imaging, with recent publications targeting FLASH radiotherapy monitoring and quantum computing interfaces. Analysis of his 15 most recent publications reveals dominant trends in medical physics instrumentation (70% of works), particularly ionoacoustic dosimetry for proton beam therapy, alongside growing contributions to neuromorphic engineering (20%) and radiation-hardened design (10%). All leverage advanced CMOS/FinFET nodes (28nm–12nm) to address noise, power, and radiation tolerance challenges in clinical and space applications. Key career recognition includes: Italian National Scientific Qualification for Full Professor (Electronics, 2020) Technical Program Committee roles for IEEE ESSCIRC, PRIME, and ICICDT conferences Associate Editor for Journal of Circuits, Systems and Computers (World Scientific) As Principal Investigator for INFN-funded projects since 2018, he coordinates multi-institutional teams across Italy and Germany on proton therapy instrumentation. His grant portfolio includes: Proton Sound Detector (INFN): 4-unit collaboration (Milano-Bicocca, CNAO, LMU Munich, INFN Catania) for real-time Bragg peak localization ScalTech28/FinFet16 (INFN): Rad-hard ASIC design in 28nm/16nm for high-luminosity LHC upgrades SAFIR GEM (2022): Submarine acoustic monitoring infrastructure funded by University of Milano-Bicocca Current leadership spans two research streams: CMOS 28nm biosensors for neuron-electronic interfaces and proton sound detectors for hadron therapy. Previously, he directed MEMS sensor development at University of Salento (2008–2012) and served as technical lead for ATLAS Muon Drift Tube ASICs. His industry collaborations include Infineon, IMEC, and STMicroelectronics, with recent work integrating PVDF ultrasound arrays for melanoma diagnosis and FinFET neurons for neuromorphic computing.

Xiangyi Mengمشاهده پروفایل

استادیار

• Quantum Networks
• Network Science
• Quantum Information
• +۱۱ مورد دیگر

Prof. Xiangyi "X" Meng is an Assistant Professor at Rensselaer Polytechnic Institute's Department of Physics, Applied Physics, and Astronomy. His academic journey includes a B.S. in microelectronics from Peking University and a Ph.D. in physics from Boston University under Prof. Eugene Stanley. He held postdoctoral positions at Northeastern University's Center for Complex Network Research with Prof. Albert-László Barabási and as a Research Associate at Northwestern University with Prof. István Kovács. RPI (2025-present): Assistant Professor Northeastern University (2021-2023): Postdoc Northwestern University (2023-2024): Research Associate His research spans quantum networks, network science, and interdisciplinary applications, with key contributions in: Quantum communication protocols Concurrence percolation theory Quantum field theory applications Computational social science Power grid resilience modeling Multi-community epidemic spreading Prof. Meng has published over 20 papers in top journals like Physical Review Letters, PNAS, and Nature Communications, focusing on quantum advantage in network connectivity, entanglement distribution, and nonlinear network dynamics. His work has been featured in Physics World and Phys.org media outlets. As an educator, he teaches Physics II and Introductory Quantum Mechanics . His team develops quantum-inspired machine learning architectures like entanglement-structured LSTM networks. Current research explores nonconvex entanglement measures and hypergraph immersion techniques for quantum network optimization.

Di Wuمشاهده پروفایل

استادیار

• Computer architecture
• Domain-specific acceleration
• Emerging computing paradigms
• +۳ مورد دیگر

Di Wu is an Assistant Professor at the University of Central Florida in the Department of Electrical and Computer Engineering. Their research focuses on next-generation computing systems spanning computer architecture , neuromorphic computing , and quantum computing . PhD in Electrical and Computer Engineering from University of Wisconsin, Madison (2023) Research highlights include innovations in domain-specific acceleration and heterogeneous systems . Recent publications demonstrate expertise in value-level parallelism , stochastic computing , and quantum error correction . Current projects target deep learning systems , neuromorphic brain-computer interfaces , and quantum architecture optimization . Professional recognition includes: 2024 ASPLOS Distinguished Artifact Evaluation Award 2024 Harold Peterson Outstanding Dissertation Award 2023 ML & Systems Rising Star Di Wu contributes to academic leadership as a program committee member for top conferences (ASPLOS, HPCA, ISCA, MICRO) and organizing chair roles for WUC @ ASPLOS 2024 and ARTEQC @ HPCA 2025.

• VLSI Design and Test
• Digital System Design
• Embedded Systems
• +۳ مورد دیگر

**Dimitris Bakalis** is an Assistant Professor in the Department of Physics at the University of Patras, Greece, affiliated with the Electronics and Computers Division. His research focuses on VLSI design and test, low-power systems, and computer arithmetic. He holds a PhD in Computer Engineering from the University of Patras (2001). Education: Bachelor of Science in Computer Engineering, University of Patras Master of Science in Computer Engineering, University of Patras PhD in Computer Engineering, University of Patras (2001) Research Interests: Dr. Bakalis specializes in VLSI testing methodologies, including Built-in Self-Test (BIST), low-power design, and arithmetic circuits. His work emphasizes energy-efficient architectures for embedded systems and residue number systems (RNS). Recent projects include modulo arithmetic circuits and QCA nanotechnology-based squarers. Articles Trends: His publications span over two decades, with a focus on optimizing arithmetic circuits for low power and high efficiency. Key contributions include RNS converter designs, low-power BIST schemes, and novel architectures for Hamming distance comparators. Recent work explores nanoscale QCA circuits and RNS applications in image processing. Awards & Grants:** No specific awards listed, but his work has been cited over 350 times. He has collaborated on projects funded by the University of Patras and European initiatives. Teaching:** He teaches courses in Computer Programming, Digital Electronics, and Microprocessor Systems, emphasizing VHDL design and embedded systems. Labs/Teams:** Active member of the Electronics Lab within the Physics Department, contributing to interdisciplinary projects in VLSI and nanoelectronics.

Trung Q. Duongمشاهده پروفایل

استاد

• Wireless Communications
• Quantum Communications
• Quantum Machine Learning
• +۸ مورد دیگر

Trung Q. Duong is a Canada Excellence Research Chair and Full Professor at Memorial University of Newfoundland, Canada. He specializes in wireless and quantum communications, with a focus on 5G/6G networks, IoT applications, and quantum machine learning. His research addresses challenges in network optimization, digital twin integration, and UAV-based communication systems. Education: PhD in Telecommunications Systems from Blekinge Institute of Technology, Sweden. Research Interests: Quantum machine learning, real-time optimization for UAVs, integrated satellite-terrestrial networks, and security in communications. His work spans applications in healthcare, disaster management, and smart cities. Key Achievements: Over 500 publications (20,000+ citations, h-index 76), $54M+ in grants, and prestigious awards like the Newton Prize and IEEE Fellowship. He serves as an editor for top journals such as IEEE Trans. on Wireless Communications and IEEE Wireless Communications Letters. Global Collaborations: Visiting Professorships at National Chung Cheng University (Taiwan), Kyung Hee University (South Korea), and Thuyloi University (Vietnam). Active in international grant review panels across 20+ countries.

• Materials Science
• Electrochemistry
• Energy Storage
• +۳ مورد دیگر

Dr. H. Yin serves as a Professor in the Department of Electrical and Computer Engineering within the College of Engineering at the University of Houston. His office is located in Engineering Building 1, Room N308 at 4226 Martin Luther King Boulevard, Houston, TX 77204-4005, with departmental contact via ece@egr.uh.edu. His research spans Materials Science and Electrochemistry , focusing on energy conversion/storage systems. Key thrusts include: Design of nanostructured electrocatalysts (nickel/molybdenum phosphides, CoSe 2 nanowires) for hydrogen evolution at industrial-scale current densities Thermoelectric materials development through defect engineering in Zintl phases and tellurium alloys Advanced battery materials for sodium-ion systems using vanadium fluorophosphates and Bi 2 Se 3 /C composites High-thermal-conductivity boron arsenide for semiconductor thermal management His work emphasizes stability under operational extremes and fundamental property-structure relationships. Publication analysis (2018-2025) reveals three dominant trajectories: (1) Catalyst reconstruction dynamics under electrolysis conditions, (2) Phonon engineering for thermal conductivity enhancement, and (3) Multi-anion strategies (S/Se/P) for electrocatalyst optimization. Recent 2025 work on Kondo systems and in situ catalyst visualization indicates expanding into quantum materials and operando characterization techniques.

Simon Fooمشاهده پروفایل

استاد

• Photovoltaics
• Multi-junction III-V compound Solar Cells
• Organic/Polymer Solar Cells
• +۵ مورد دیگر

Simon Foo is a tenured Professor of Electrical and Computer Engineering at the FAMU-FSU College of Engineering, part of Florida A&M University and Florida State University. He has held roles including Department Chair (2010–2018) and has been a professor since 2005. His research focuses on photovoltaics and machine learning, with over 150 publications and 50+ graduated students. He leads 20+ funded projects from agencies like NASA, DOE, NSF, and industries like Boeing and Airbus. Education: Ph.D. (1988), M.S. (1985), and B.S. (1983) in Electrical Engineering from the University of South Carolina. Research Interests: Photovoltaics (multi-junction solar cells, quantum dots, perovskites) and machine learning applications in energy systems, control, and healthcare. His lab develops AI-driven solutions for renewable energy optimization and battery management systems. Key Awards: Teaching Incentive Award (1995) Teacher of the Year (2001 & 2010) Engineering Research Awards (2004 & 2008) Two Best Paper Awards (2001 & 2004) Advising & Grants: Mentored over 50 graduate students in photovoltaics and AI. Secured grants from NASA, DOE, NSA, NSF, and industry partners. Current projects include battery state-of-charge estimation and AI for aircraft fire detection systems. Labs & Collaborations: Collaborates with Airbus on aircraft safety systems and maintains an active research group focused on renewable energy and AI integration. His lab is currently full and not accepting students until 2027.

Honghao Fuمشاهده پروفایل

استادیار

• Quantum Computing
• Device-independent Quantum Cryptography
• Entanglement Verification
• +۳ مورد دیگر

Dr. Honghao Fu is an Assistant Professor at the Concordia Institute for Information Systems Engineering (Department of Information Systems Engineering), Concordia University. His primary research focuses on quantum computing, device-independent quantum cryptography, entanglement verification, and testing of untrusted devices. He actively seeks students for thesis supervision in these areas. His research interests emphasize foundational aspects of quantum information science, including protocols for quantum state purification, undecidability in quantum correlation problems, zero-knowledge proofs in multi-prover interactive systems, and practical implementations of device-independent cryptography using quantum entanglement. His work bridges theoretical computer science and experimental quantum physics, with applications in secure communication and computational complexity. Recent publications (2020–2025) highlight advancements in quantum state purification techniques, undecidability proofs for quantum correlations, low-latency quantum randomness expansion, and computational self-testing for quantum devices. His research often explores the intersection of quantum theory and cryptographic security, particularly under noisy or untrusted conditions. No scientific awards or grants are explicitly mentioned in the provided text. His advising focus aligns with his research areas in quantum cryptography and information systems engineering.

• Cryptography
• Embedded Systems
• Biometrics
• +۵ مورد دیگر

Mariano Lopez Garcia is a researcher at the Polytechnic University of Catalonia (UPC), affiliated with the Department of Electronic Engineering at the Polytechnic School of Engineering of Vilanova i la Geltrú (EPSEVG). He is part of the SARTI research group, focusing on technological development in remote sensing and information processing, as well as the SARTI-MAR subgroup addressing marine environment applications. His work emphasizes embedded systems, cryptography, and biometric security, with a strong emphasis on FPGA-based hardware-software co-design for cybersecurity and post-quantum cryptography solutions. His research spans over 150 activities, including peer-reviewed publications, competitive R&D projects, and conference presentations. Key areas include post-quantum cryptography (e.g., McEliece cryptosystem implementations), biometric authentication systems, FPGA acceleration for real-time processing, and control systems for power electronics. Notable projects include developing secure cryptographic key protection against side-channel attacks and creating low-cost embedded systems for signature verification. He has collaborated on initiatives such as the Projecte R+D+I competititu for vector processors in biometric identification and the TEC2015-68784-R project on scalable identification systems. His contributions also extend to power electronics, including sliding mode control for resonant converters and electronic transformer designs. Recent publications (2025) highlight advancements in post-quantum cryptography using FPGA hardware accelerators and constant-weight code-based encryption. His work bridges theoretical research with practical applications in embedded systems and cybersecurity, often leveraging reconfigurable hardware for efficient and secure solutions.

Walter O. Krawecمشاهده پروفایل

دانشیار

• Quantum Cryptography
• Quantum Information Theory
• Quantum Key Distribution
• +۵ مورد دیگر

Walter O. Krawec is an Associate Professor of Computer Science at the University of Connecticut. His research focuses on quantum cryptography and quantum information theory, particularly exploring quantum resources in cryptographic applications and entropic uncertainty relations. He advises students at all levels and leads a research group with active projects in quantum key distribution (QKD), quantum networks, and secure microgrids. Research Interests: - Quantum Cryptography and Quantum Key Distribution (QKD) - Entropic Uncertainty Relations - Quantum Network Security and Protocols - High-Dimensional Quantum Systems - Semi-Quantum Communication Protocols - Quantum Sampling and Resource Analysis Key Research Trends in Articles: His work spans theoretical security proofs for QKD protocols, practical implementations in satellite and hybrid networks, and applications to power grid security. Recent efforts emphasize optimizing key rates, mitigating quantum noise, and developing protocols compatible with NISQ devices. Scientific Awards: None explicitly listed in provided texts. Advising & Grants: - Advised over 15 students (PhD, MS, Undergraduate) since 2016. - Involved in NSF grants like 'CAREER: Hybrid Approaches to Quantum Cryptography' and 'CIF: Small: Secure Quantum Communication with Limited Resources.' - Developed open-source software tools for QKD protocol analysis and simulation. Labs/Teams: Collaborates with interdisciplinary teams on quantum networks, including work with JPMorgan Chase's Future Lab and power grid security initiatives.